Picture taken in Matterhorn

Le Chen
le dot chen at tuebingen dot mpg dot de

I am a CS PhD student at the Empirical Inference department of Max Planck Institute for Intelligent Systems and ETH Zurich, supervised by Prof. Bernhard Schölkopf, working on robotics.

I obtained my master's degree in Electrical Engineering and Information Technology at ETH Zurich. I also spent time at Microsoft Mixed Reality & AI Lab in Zurich, Tencent AI Lab and Tencent Robotics X Lab.

Outside of academics, my hobbies include music, photography, doing various kinds of sports, and playing StarCraft II.

E-Mail / Google Scholar / LinkedIn / Github

Research

GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation

Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, Ulrich Neumann
Preprint, 2024.
arxiv  •   website  •   code

Identifying Policy Gradient Subspaces

Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel Haeufle, Bernhard Schölkopf, Dieter Büchler
International Conference on Learning Representations (ICLR), 2024
arxiv  •   website  •   code

LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry

Weirong Chen, Le Chen, Rui Wang, Marc Pollefeys
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
arxiv  •   website

Leveraging Neural Radiance Fields for Uncertainty Aware Visual Localization

Le Chen, Weirong Chen, Rui Wang, Marc Pollefeys
IEEE International Conference on Robotics and Automation (ICRA), 2024
arxiv  •   supp video

Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields

Soomin Lee*, Le Chen*, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu
IEEE Robotics and Automation Letters (RA-L), 2022
IEEE International Conference on Robotics and Automation (ICRA), 2023
(*: equal contribution)
arxiv  •   website  •   supp video  •   bibtex

Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning

Yunke Ao*, Le Chen*, Florian Tschopp, Michel Breyer, Andrei Cramariuc, Roland Siegwart
IEEE International Conference on Robotics and Automation (ICRA), 2022
(*: equal contribution)
arxiv  •   poster  •   supp video  •   code  •   bibtex

Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning

Le Chen*, Yunke Ao*, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena
Conference on Robot Learning (CoRL), 2020
(*: equal contribution)
arxiv  •   spotlight talk  •   supp video  •   code  •   bibtex

Jiles-Atherton Based Hysteresis Identification of Shape Memory Alloy-Actuating Compliant Mechanism via Modified Particle Swarm Optimization Algorithm

Le Chen, Ying Feng, Rui Li, Xinkai Chen, Hui Jiang,
Complexity, vol. 2019.
paper   •   bibtex

Projects

Transition From Model-Based to Model-Free Actor-Critic Reinforcement Learning

Le Chen, Yunke Ao, Kaiyue Shen, Zheyu Ye,
Course Project in Deep Learning, 2020
report   •   code

Leveraging Pixel Correspondences for Sparse-to-Dense Feature-Metric Localization

Le Chen, Lixin Xue, Zimeng Jiang
Course Project in 3D Vision, 2020
report   •   code


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